Package: semsfa 1.2

semsfa: Semiparametric Estimation of Stochastic Frontier Models

Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.

Authors:Giancarlo Ferrara [aut, cre], Francesco Vidoli [aut]

semsfa_1.2.tar.gz
semsfa_1.2.zip(r-4.7-any)semsfa_1.2.zip(r-4.6-any)semsfa_1.2.zip(r-4.5-any)
semsfa_1.2.tgz(r-4.6-any)semsfa_1.2.tgz(r-4.5-any)
semsfa_1.2.tar.gz(r-4.7-any)semsfa_1.2.tar.gz(r-4.6-any)
semsfa_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
semsfa/json (API)

# Install 'semsfa' in R:
install.packages('semsfa', repos = c('https://giancarloferrara-dev.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 512 downloads 1 mentions 5 exports 23 dependencies

Last updated from:1fbdc2a716. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK209
linux-releaseOK135
macos-releaseOK197
macos-oldrelOK166
windows-develOK88
windows-releaseOK103
windows-oldrelOK87
wasm-releaseOK104

Exports:efficiencies.semsfafanplot.semsfasemsfasummary.semsfa

Dependencies:bootcodetoolscrscubaturedoParallelforeachgamlssgamlss.datagamlss.distiteratorslatticeMASSMatrixMatrixModelsmgcvmomentsnlmenpquadprogquantregRcppSparseMsurvival